A wavelet transform is almost always implemented as a bank of filters that decompose a signal into multiple signal bands.(a) True(b) FalseThis question was addressed to me in an internship interview.This interesting question is from Writing System in section Recording System of Biomedical Instrumentation

A wavelet transform is almost always implemented as a bank of filters

1.	A wavelet transform is almost always implemented as a bank of filters that decompose a signal into multiple signal bands.(a) True(b) FalseThis question was addressed to me in an internship interview.This interesting question is from Writing System in section Recording System of Biomedical Instrumentation
Answer» Correct option is (a) True For explanation: It is true. A WAVELET TRANSFORM is almost always implemented as a bank of filters that decompose a signal into multiple signal bands. Wavelets are a relatively new signal processing method. Thus, one of the biggest advantages of using the wavelet transform is that signal features can be easily extracted. In many cases, a wavelet transform OUTPERFORMS the conventional FFT when it COMES to feature extraction and noise reduction. predictable, and software simulations can exactly reflect product PERFORMANCE.

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